bambu-studio-ai
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Autonomous DeFi trading agent for BNB Chain with multi-strategy engine, network switching, and reinforced learning.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install alannetwork/clawtrade-bnb打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Production-ready autonomous trading agent for BNB Chain testnet & mainnet. Features 3 intelligent strategies, real-time performance analytics, on-chain event logging, and self-improving reinforced learning.
clawhub install clawtrade-bnb
cd ~/.openclaw/workspace/skills/clawtrade-bnb
npm install
# Copy example config
cp config.deployed.json config.live.json
# Edit with your settings
nano config.live.json
# Set RPC endpoint, contract addresses, wallet
# Option A: Environment variable (recommended)
export PRIVATE_KEY="your_testnet_private_key"
# Opti...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
Status: ✅ Production Ready | Chain: BNB Testnet (97) / Mainnet (56) | Model: Deterministic Decision Engine
npm install
# or link as OpenClaw skill
ln -s /home/ubuntu/.openclaw/workspace/skills/clawtrade-bnb /path/to/openclaw/skills/
const YieldFarmingAgent = require('./index.js');
const mockdata = require('./mockdata.json');
const agent = new YieldFarmingAgent({
chainId: 97,
harvest_threshold_usd: 25,
rebalance_apr_delta: 0.02,
max_allocation_percent: 0.35
});
// Your current position state
const allocation = {
vault_bnb_lp_001: {
shares: "1000",
amount_usd: "50000",
pending_rewards_usd: "1200"
}
};
// Get deterministic decision
const decision = agent.decide(mockdata.vaults, allocation);
console.log(JSON.stringify(decision, null, 2));
# Run with default example
node index.js
# Run with hash verification
node index.js --verify
┌─────────────────────────────────────────────────┐
│ 1. Load Vaults & Filter by Risk (score ≤ 0.5) │
└────────────────────┬────────────────────────────┘
│
┌────────────────────▼────────────────────────────┐
│ 2. Calculate NET_APR = apr - fees - risk_penalty │
│ (risk_penalty = risk_score × 0.10) │
└────────────────────┬────────────────────────────┘
│
┌────────────────────▼────────────────────────────┐
│ 3. Rank by NET_APR (descending) │
│ → Select best_vault │
└────────────────────┬────────────────────────────┘
│
┌──────────┴──────────┐
│ │
┌─────▼─────┐ ┌─────▼──────┐
│ HARVEST? │ │ COMPOUND? │
│ rewards │ │ net_apr >= │
│ >= $25 │ │ threshold │
└─────┬─────┘ └─────┬──────┘
│ YES...
# CawTrade BNB - Autonomous DeFi Trading Agent v1.1.0 **Production-ready autonomous trading agent** for BNB Chain testnet & mainnet. Features 3 intelligent strategies, real-time performance analytics, on-chain event logging, and self-improving reinforced learning. ## Core Features ### 🤖 Three Autonomous Strategies 1. **Compound Yield** - Auto-reinvest harvested rewards for exponential growth 2. **Rebalance** - Move capital from low-APR to high-APR vaults automatically 3. **Dynamic Harvest** - Intelligent harvesting based on gas cost optimization ### 🌐 Network Switching - Instant testnet ↔ mainnet toggle (no restart) - Separate configs per network (gas, thresholds, RPCs) - Contract address mapping per chain - Persistent network preferences ### 📊 Real-Time Analytics - Realized APR (actual, based on historical yields) - Per-vault performance breakdown - Strategy effectiveness scoring - Success rate tracking (target: >90%) - Failure pattern detection ### 🧠 Reinforced Learning - Auto-learns from past failures - Dynamically optimizes strategy parameters - Adjusts thresholds based on success rates - Confidence scoring per strategy - Self-improving over time ### ⛓️ On-Chain Event Logging - All actions logged with TX hashes - Auditable blockchain trail - BNB Testnet Scanner links - Complete execution history ### 🎮 Control Panel CLI - Interactive command-line interface - Network management commands - Performance metrics dashboard - Learning progress tracking - Real-time optimization ## Installation & Setup ### 1. Install Skill ```bash clawhub install clawtrade-bnb cd ~/.openclaw/workspace/skills/clawtrade-bnb npm install ``` ### 2. Configure Environment ```bash # Copy example config cp config.deployed.json config.live.json # Edit with your settings nano config.live.json # Set RPC endpoint, contract addresses, wallet ``` ### 3. Set Private Key (Secure) ```bash # Option A: Environment variable (recommended) export PRIVATE_KEY="your_testnet_private_key" # Opti...
# Autonomous Yield Farming Agent Skill
**Status:** ✅ Production Ready | **Chain:** BNB Testnet (97) / Mainnet (56) | **Model:** Deterministic Decision Engine
## Quick Start
### Installation
```bash
npm install
# or link as OpenClaw skill
ln -s /home/ubuntu/.openclaw/workspace/skills/clawtrade-bnb /path/to/openclaw/skills/
```
### Basic Usage
```javascript
const YieldFarmingAgent = require('./index.js');
const mockdata = require('./mockdata.json');
const agent = new YieldFarmingAgent({
chainId: 97,
harvest_threshold_usd: 25,
rebalance_apr_delta: 0.02,
max_allocation_percent: 0.35
});
// Your current position state
const allocation = {
vault_bnb_lp_001: {
shares: "1000",
amount_usd: "50000",
pending_rewards_usd: "1200"
}
};
// Get deterministic decision
const decision = agent.decide(mockdata.vaults, allocation);
console.log(JSON.stringify(decision, null, 2));
```
### CLI Execution
```bash
# Run with default example
node index.js
# Run with hash verification
node index.js --verify
```
## Decision Flow
```
┌─────────────────────────────────────────────────┐
│ 1. Load Vaults & Filter by Risk (score ≤ 0.5) │
└────────────────────┬────────────────────────────┘
│
┌────────────────────▼────────────────────────────┐
│ 2. Calculate NET_APR = apr - fees - risk_penalty │
│ (risk_penalty = risk_score × 0.10) │
└────────────────────┬────────────────────────────┘
│
┌────────────────────▼────────────────────────────┐
│ 3. Rank by NET_APR (descending) │
│ → Select best_vault │
└────────────────────┬────────────────────────────┘
│
┌──────────┴──────────┐
│ │
┌─────▼─────┐ ┌─────▼──────┐
│ HARVEST? │ │ COMPOUND? │
│ rewards │ │ net_apr >= │
│ >= $25 │ │ threshold │
└─────┬─────┘ └─────┬──────┘
│ YES...Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
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